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Apply Tisane Topic Extraction to Twingly VK
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Quickly apply Tisane Topic Extraction to Twingly VK with a Datstreamer Pipeline.
Quickly connect Tisane Topic Extraction and Twingly VK with a Datstreamer Pipeline.
Step 1
Start your Pipeline with Twingly VK
Web data is the starting point for any pipeline. You can use any number of data sources to power your Pipelines. You can use web data from our partner network, your own systems, or any web data.
Step 2
Add Tisane Topic Extraction with an Operation
To accelerate using your web data, you can apply any number of operations to the data. Enrich, augment, join, structure, filter, storage, search, or more! Datastreamer has hundreds of plug-and-play operations that you can apply.
Step 3
That's it! You have just connected Tisane Topic Extraction and Twingly VK
With Datastreamer it’s never been easier to use web data. You can dynamically expand your Pipelines with more capabilities, and you’ve now been able to solve your operational bottlenecks in working with web data.
Also known as: theme identification, subject detection, or key topic recognition. Topic extraction determines the dominant topics in the text.
Tisane provides the topics at a document level.
When a particular word has multiple interpretations, the sense of the word must be determined in the current context. For example, Jupiter is a planet and a Roman deity. Whether it's the planet or the deity, depends on the text.
For example, the sentence Juno is the wife of Jupiter refers to the deity. Tisane determines the relevant topics as Roman mythology, supernatural (gods), relationship, and family (since the spousal connection is mentioned).
There are common taxonomy standards that Tisane can provide::
native - native Tisane topic names; based on standard English terms for the topic. The default standard.
iab_description - English descriptions of the IAB codes.
wikidata - Wikidata codes (usually of the form Qnnnnn, e.g. Q123).
About Twingly VK
Twingly offers an official VK Search API that includes all public posts, shares and comments, a total of 20 million messages per day. Get access today to find out what is said about your brand, customers or competitors in the Russian market.
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